Evidence map›Paper›PMID 33315018›Full record

ArticleJournal of medical Internet research2020

Biological, Chemical, and Nutritional Food Risks and Food Safety Issues From Italian Online Information Sources: Web Monitoring, Content Analysis, and Data Visualization.

Barbara Tiozzo, Mirko Ruzza, Valentina Rizzoli, Laura D'Este, Mosè Giaretta, Licia Ravarotto

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Barbara Tiozzo *Department for Training, Communication and Support Services, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0001-9293-3681
Mirko RuzzaDepartment for Training, Communication and Support Services, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0002-2490-3381
Valentina RizzoliDepartment for Training, Communication and Support Services, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0001-6240-4519
Laura D'EsteIT Service, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0003-2818-4975
Mosè GiarettaDepartment for Training, Communication and Support Services, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0002-0354-2716
Licia RavarottoDepartment for Training, Communication and Support Services, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.ORCID 0000-0003-2009-7156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith rapid evolution of the internet and web 2.0 apps, online sources have become one of the main channels for most people to seek food risk information. Thus, it would be compelling to analyze the coverage of online information sources related to biological, chemical, and nutritional food risks, and related safety issues, to understand the type of content that online readers are exposed to, possibly influencing their perceptions.

objectiveThe aim of this study was to identify the types of online sources that are predominantly covering this theme, and the topics that have received the most attention in terms of coverage and engagement on social media.

methodsWe performed an analysis of big data related to food risks by combining web monitoring techniques, content analysis, and data visualization of a large amount of unstructured text. Using a dictionary-based approach, a web monitoring app was instructed to automatically collect web content referring to the food risk and safety field. Data were retrieved from March 2017 to February 2018. The validated corpus (N=12,163) was subject to automatic and manual content analysis. Results were combined with descriptive statistics extracted from Web-Live and processed with Qlik Sense.

resultsNutritional risks and news about outbreaks, controls, and alerts were the most widely covered topics. Thematic sources devoted major attention to nutritional topics, whereas national sources covered food risks, especially during food emergencies. Regarding engagement on social media, readers' interest was higher for nutritional topics and animal welfare. Although traditional sources still publish a great amount of content related to food risks and safety, new mediators have emerged as alternative sources for food risk information.

conclusionsThis mixed methodological approach was demonstrated to be a useful means for obtaining an accurate characterization of the online discourse on food risks, and can provide insight into how the monitored sources contribute to the process of risk communication.

Indexed as

Data VisualizationNutrition AssessmentBig DataCommunicationFood SafetyHumansInternetItalySocial MediaSurveys and Questionnairesbig datacontent analysisdata visualizationfood risksonline information sourcesrisk communicationweb monitoring

Identifiers

PMID33315018
PMCPMC7769687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.